Transcriptome analysis of reproductive-stage <i>Arabidopsis</i> plants exposed gamma-ray irradiation at various doses

Sun-Goo Hwang;Kim, Dong Sub;Jin-Baek Kim;Hwang, Jung Eun;Park, Hyun Mi;Kim, Jin Hyuk;Jang, Cheol Seong

Description

Purpose: Gamma rays (GR) induce significant changes in the structure and expression of genes involved in the regulation of diverse biochemical and physiological processes. Arabidopsis plants exhibit different growth and development patterns in response to exposure to GR. The effects on gene expression of different radiation doses of GR (100 and 800 Gy) administered to Arabidopsis plants were examined at the reproductive stage. Materials and methods: We irradiated 26-day-old plants with three replications [developmental stages 5.1–6.0, according to Boyes et al. (2001)] using a GR irradiator (60 Co, ca. 150 TBq capacity, Atomic Energy of Canada Limited, Ontario, Canada) at the Korea Atomic Energy Research Institute. Plants were treated with 100, 200, 300, 400, 800, 1200, 1600, or 2000 Gy, and the doses were made from varying the distance to the source. Results: We conducted a high-throughput screening analysis and detected 883 GR-responsive genes that showed significant changes; these were involved in several putative metabolic pathways related to biotic stress. Additionally, five overrepresented cis-regulatory elements were identified in the 1-kb upstream regions of GR-responsive genes by using motif enrichment analysis. We also detected three GR-responsive genes associated with stamen development and confirmed their co-regulation with functionally interacting genes. Conclusions: This finding suggests that a network-based analysis is a viable approach to identify significant GR-responsive genes associated with the reproductive stage of Arabidopsis. Our results provide further insights into the complex biological systems involved in the response to different doses of GR in plants.

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Dataset Index

0.5

FAIR Score

81%

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0

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0

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Publication Details

DOI

Publisher

Taylor & Francis

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Plant Science

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

53%

Source

Scholar Data Model

Keywords

BiophysicsMedicineCell BiologyGeneticsFOS: Biological sciencesMolecular BiologyPlant BiologyComputational Biology

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00